An Integration Adaptation for Real-Time Datawarehousing

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Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Data Management
Format: PDF
Managing and storing big data makes use of powerful systems mainly based on the concept of data warehousing. Data changes usually occur in operational data sources that are mostly heterogeneous and remote from each other. To gather them in a single location called the data warehouse, they may undergo many treatments and processes according to the organization's policies and rules. Once in the data warehouse, they become ready for decision-making and analytical tools. For fast and good decisions for the future, based on fresh data, it is necessary that the data warehouse reflects the real operational data changes and provides the freshest data to the analytical systems.
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